Infrastructure Engineer III - GenAI/AI Automation/AWS

JPMorgan Chase & Co.; Fairfax (DE); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorganChase & Co. seeks an Infrastructure Engineer III focusing on GenAI/AI Automation and AWS within the Consumer and Community Banking team to scale infrastructure and optimize costs.

You will work across data and systems, validate AI-assisted recommendations, and drive capacity resiliency while collaborating with application and infrastructure teams.

Qualifications

• Formal training or certification in infrastructure engineering concepts with 3+ years of applied experience.
• Strong understanding of cloud infrastructure and public cloud cost management tools.
• Deep infrastructure engineering knowledge across hardware, networking, databases, storage, deployment, automation, scaling, resilience and performance.
• Proven experience leveraging GenAI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions.
• Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud, including AI automation.
• Experience using enterprise-approved AI capabilities to support infrastructure workflows with awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation and escalate when uncertain, ensuring resiliency and auditability.
• Excellent problem-solving and ability to craft GenAI-driven solutions; knowledge of FinOps Foundation framework.

Responsibilities

• Applies technical knowledge to projects of moderate scope, improving data and systems at scale with end-to-end monitoring.
• Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents.
• Collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices.
• Use enterprise-authorized AI capabilities to accelerate monitoring and capacity analysis securely.
• Resolves most issues and determines appropriate escalation paths.
• Executes conventional approaches to break down technical problems while considering data flow and system implications.
• Supports daily capacity process activities and partners with teams to identify and remediate risks.
• Makes significant decisions for projects spanning multiple technologies and applications.
• Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows.

Skills

GenAI-driven solutions

Automation mindset

Scripting proficiency

Problem-solving

Cross-cloud understanding

Tools

AWS

GenAI platforms

FinOps tooling

Job description

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.

As an Infrastructure Engineer III - GenAI/AI Automation/AWS at JPMorganChase within the Consumer and Community Banking team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

Job responsibilities

• Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
• Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents; calculate potential savings and benefits leveraging data repositories, reporting, and ETL tools
• Collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
• Resolves most nuances and determines appropriate escalation path
• Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
• Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Accountable for making significant decisions for a project consisting of multiple technologies and applications
• Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
• Strong understanding of cloud infrastructure and multiple cloud technologies with experience using public cloud cost management and optimization tools.
• Infrastructure engineering technical depth such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
• Proven experience leveraging GenAI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions
• Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud, including AI automation
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
• Excellent problem-solving skills and ability to execute creative, GenAI-driven solutions for technical challenges; Strong understanding of the FinOps Foundation Framework, capabilities, lifecycle, and domains.
• Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
• Strong knowledge of one or more scripting languages
• Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)

Preferred qualifications, capabilities, and skills

• AWS Engineering or Architect certifications
• Certifications such as FinOps Practitioner or FinOps Professional.
• Advanced certifications in infrastructure engineering, cloud technologies, or automation.
• Exceptional verbal and written communication skills.